Wen Tang

5.6k citations
63 papers · 3.3k indexed · 4 hit papers · h-index 26
Topics
Genomics and Chromatin Dynamics (15 papers)Chromosomal and Genetic Variations (11 papers)RNA Research and Splicing (11 papers)

In The Last Decade

Wen Tang

60 papers receiving 3.3k citations

Hit Papers

Topologically associating domains and chromatin loops dep...20172026202020232017201920232023100200300400500

Peers

Wen Tang
Comparison fields: 5 of 109
  • Molecular Biology 2.9k
  • Plant Science 933
  • Genetics 292
  • Cancer Research 208
  • Immunology 178
Replace Gavin J. Knott with:
Gavin J. Knott United States
Toshio Tsukiyama United States
Emma W Vaimberg United States
Meagan E. Sullender United States
Jeongbin Park South Korea
Luís Aragón United Kingdom
Ann L. Beyer United States
Amélie Fradet‐Turcotte Canada
Tamar Juven‐Gershon Israel
Nicholas R. Pannunzio United States
Wen Tang relative to Gavin J. Knott United States Gavin J. Knott's profile →
Citations per field
00.5×1.5×2.4×
Gavin J. Knott · 1×
Citations per year

Countries citing papers authored by Wen Tang

Since Specialization
Citations

This map shows the geographic impact of Wen Tang's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Wen Tang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wen Tang more than expected).

Fields of papers citing papers by Wen Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wen Tang. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Wen Tang. The network helps show where Wen Tang may publish in the future.

Co-authorship network of co-authors of Wen Tang

This figure shows the co-authorship network connecting the top 25 collaborators of Wen Tang. A scholar is included among the top collaborators of Wen Tang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Wen Tang. Wen Tang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 1
3 7
4 4
5
CTCF is a DNA-tension-dependent barrier to cohesin-mediated loop extrusionbreakdown →
94
6 24
7 16
8 3
9 2
10 101
11 111
12 11
13 11
14
DNA loop extrusion by human cohesinbreakdown →
538
15 73
16 3
17 34
18
Topologically associating domains and chromatin loops depend on cohesin and are regulated by CTCF, WAPL, and PDS5 proteinsbreakdown →
545
19 2
20 0

About Wen Tang

Wen Tang is a scholar working on Aging, Structural Biology and Molecular Biology, having authored 63 papers that have together received 3.3k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (15 papers), Chromosomal and Genetic Variations (11 papers) and RNA Research and Splicing (11 papers). The work is most often cited by research in Aging (130 citations), Molecular Biology (2.9k citations) and Plant Science (933 citations). Wen Tang has collaborated with scholars based in China, United States and Austria. Frequent co-authors include Jan‐Michael Peters, Gordana Wutz, Iain F. Davidson, Benedikt Bauer, Roman R. Stocsits, Jan Ellenberg, Kota Nagasaka, Peter Baumann, David A. Cisneros and Craig C. Mello. Their work appears in journals such as Nature, Science and Cell.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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